Artificial Intelligence in Manufacturing Market by Offering (Hardware, Software, and Services), End-use Industry (Semiconductors and Electronics, Energy and power, Pharmaceuticals, Chemical, Medical Devices, Automobile, Heavy Metal and Machine Manufacturing, Food and Beverages, Others), Technology (Machine Learning, NLP, Context-Aware Computing, and Computer Vision), Application (Predictive Maintenance, Material Movement, Production Planning, Field Services, Quality Management, Cybersecurity, Industrial Robotics, and Reclamation), and Region - Global Forecast to 2025

  • Report ID:MRICT - 104281
  • Pages: 130
  • Jun 2019
  • Formats*: PDF
  • Category: Information & Communications Technology

1. Introduction
    1.1. Market Definition
    1.2. Scope of Study
    1.3. Market Ecosystem
    1.4. Currency and Limitations
           1.4.1. Currency
           1.4.2. Limitations
    1.5. Key Stakeholders

2. Research Methodology
    2.1. Research Process
           2.1.1. Secondary Research
           2.1.2. Primary Research
           2.1.3. Market Analytics
           2.1.4. Assumptions

3. Executive Summary

4. Market Insights
    4.1. Introduction
    4.2. Market Dynamics
           4.2.1. Drivers
           4.2.2. Restraints
           4.2.3. Opportunities
           4.2.4. Challenges
    4.3. Market Share Analysis, By Key Player
    4.4. Regulatory Analysis

5. Artificial Intelligence in Manufacturing Market, by Product Offering
    5.1. Introduction
    5.2. Hardware
           5.2.1. Processor
                     5.2.1.1. Central Processing Unit (CPU)
                     5.2.1.2. Graphics Processing Unit (GPU)
                     5.2.1.3. Field-Programmable Gate Array (FPGA)
                     5.2.1.4. Application-Specific Integrated Circuit (ASIC)
           5.2.2. Memory
           5.2.3. Network
    5.3. Software
           5.3.1. AI Solutions
           5.3.2. AI Platform
    5.4. Services
           5.4.1. Managed services
           5.4.2. Professional services

6. Artificial Intelligence in Manufacturing Market, by Technology
    6.1. Introduction
    6.2. Machine Learning
           6.2.1. Deep Learning
           6.2.2. Supervised Learning
           6.2.3. Reinforcement Learning
           6.2.4. Unsupervised Learning
           6.2.5. Others
    6.3. Natural Language Processing (NLP)
    6.4. Context-Aware Computing
    6.5. Computer Vision

7. Artificial Intelligence in Manufacturing Market, by Application
    7.1. Introduction
    7.2. Predictive Maintenance and Machinery Inspection
    7.3. Material Movement
    7.4. Production Planning
    7.5. Field Services
    7.6. Quality Management
    7.7. Cybersecurity
    7.8. Industrial Robot
    7.9. Reclamation

8. Artificial Intelligence in Manufacturing Market, by End-User
    8.1. Introduction
    8.2. Semiconductors and Electronics
    8.3. Energy and Power
    8.4. Pharmaceuticals
    8.5. Chemical
    8.6. Medical Devices
    8.7. Automobile
    8.8. Heavy Metals and Machine Manufacturing
    8.9. Food and Beverages
    8.10. Others

9. Artificial Intelligence in Manufacturing Market, by Geography
    9.1. Introduction
    9.2. North America
           9.2.1. U.S.
           9.2.2. Canada
    9.3. Europe
           9.3.1. Germany
           9.3.2. U.K.
           9.3.3. France
           9.3.4. Italy
           9.3.5. Spain
           9.3.6. Rest of Europe
    9.4. Asia-Pacific
           9.4.1. China
           9.4.2. India
           9.4.3. Japan
           9.4.4. Rest of APAC
    9.5. Rest of World
           9.5.1. Latin America
                     9.5.1.1. Brazil
                     9.5.1.2. Mexico
                     9.5.1.3. Argentina
                     9.5.1.3. Rest of Latin America
           9.5.2. Middle East and Africa

10. Competitive Landscape
      10.1. New Product Launches & Upgradations
      10.2. Acquisitions and Expansions
      10.3. Agreements, Collaborations, and Partnerships

11. Company Profiles (Business Overview, Financial Overview, Products Portfolio, and Strategic Developments)
      11.1. AIBrain Inc.
      11.2. Amazon Web Services, Inc.
      11.3. Apple Inc.
      11.4. Cisco Systems, Inc.
      11.5. Citrine Informatics, Inc.
      11.6. Darktrace Limited
      11.7. DataRobot, Inc.
      11.8. Dell Inc.
      11.9. General Electric Company
      11.10. General Vision Services Inc.
      11.11. Google Inc.
      11.12. IBM Corporation
      11.13. Intel Corporation
      11.14. Micron Technology
      11.15. Microsoft Corporation
      11.16. Mitsubishi Electric Corporation
      11.17. NVIDIA Corporation
      11.18. Oracle Corporation
      11.19. Preferred Networks, Inc.
      11.20. Progress Software Corporation
      11.21. Rockwell Automation, Inc.
      11.22. SAP SE
      11.23. Siemens AG
      11.24. Sight Machine Inc.
      11.25. Skymind, Inc.
      11.26. Tamr Inc.
      11.27. UBTECH Robotics, Inc.
      11.28. Vicarious Inc.

12. Appendix
      12.1 Questionnaire
      12.2 Available Customization

Artificial Intelligence (AI) has the potential to enhance and extend the capabilities of humans, and help businesses achieve more, faster, and more efficiently. Today, the manufacturing industry has always been open to adopting new technologies. The manufacturing industry is leading the way in the application of artificial intelligence technology. From significant cuts in unplanned downtime to better designed products, manufacturers are applying AI-powered analytics to data to improve efficiency, product quality, and the safety of employees.

The key factors driving the growth of this market are increasing usage of robots, IoT, and big data technology in the manufacturing sector; improving computing power and declining hardware cost; and rising venture capital investments. Moreover, application of AI for intelligent business process and growth in operational efficiency of manufacturing plants offers significant growth opportunities for market players operating in artificial intelligence in manufacturing. However, lack of awareness among small and medium-sized businesses, reluctance among manufacturers to adopt AI-based technologies, and limited presence of skilled workforce are expected to hinder the growth of this market to some extent. On the other hand, concerns regarding data privacy is the key challenge of this market.

Analysis of Market Segments

The global artificial intelligence in manufacturing market is segmented  by Offering (Hardware, Software, and Services), End-use Industry (Semiconductors & Electronics, Energy & power, Pharmaceuticals, Chemical, Medical Devices, Automobile, Heavy Metal & Machine Manufacturing, Food & Beverages, Others), Technology (Machine Learning, NLP, Context-Aware Computing, and Computer Vision), Application (Predictive Maintenance, Material Movement, Production Planning, Field Services, Quality Management, Cybersecurity, Industrial Robotics, and Reclamation), and Geography.  

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Based on end-user, automobile industry segment accounted for the largest share of the global artificial intelligence in manufacturing market in 2018. The large share of this segment is mainly attributed to the installations of industrial IoT and usage of big data, and rising use of machine learning and computer vision technology in machinery inspection.

Based on offering, hardware segment is expected to witness rapid growth during the forecast period, owing to the increasing need for hardware platforms with high computing power to run various AI software.

Key Players

The major players operating in the global artificial intelligence in manufacturing market are AIBrain Inc. (U.S.), Amazon Web Services, Inc. (U.S.), Apple Inc. (U.S.), Cisco Systems, Inc. (U.S.), Citrine Informatics, Inc. (U.S.), Darktrace Limited (U.K.), DataRobot, Inc. (U.S.), Dell Inc. (U.S.), General Electric Company (U.S.), General Vision Services Inc. (U.S.), Google Inc. (U.S.), IBM Corporation (U.S.), Intel Corporation (U.S.), Micron Technology (U.S.), Microsoft Corporation (U.S.), Mitsubishi Electric Corporation (Japan), NVIDIA Corporation (U.S.), Oracle Corporation (U.S.), Preferred Networks, Inc. (Japan), Progress Software Corporation (U.S.), Rockwell Automation, Inc. (U.S.), SAP SE (Germany), Siemens AG (Germany), Sight Machine Inc. (U.S.), Skymind, Inc. (U.S.), Tamr Inc. (U.S.), UBTECH Robotics, Inc. (China), and Vicarious Inc. ( U.S.).

Future Outlook

Nowadays, one of the most common buzzwords in the technology industry is Artificial Intelligence (AI). AI will play a big part in manufacturing industry. AI will help the manufacturing industry reach a high level of accuracy and productivity, a level that is even beyond human ability. It can even work in environments that are otherwise dangerous, tedious or complicated for humans. Robotics, which are expected in the future, will have capabilities like voice and image recognition that can be used to re-create complex human tasks. Robots are already being used in manufacturing companies. But with their growing intelligence, the workforce in factories will soon be replaced by robots. Every stage can be closely monitored with the help of sensors and data can be shared with AI and analytics software. Increased output, defect detection, and corrective action is much faster and the entire production cycle is way more efficient. Thereby, in coming years, AI will be the next big thing in the manufacturing industry.

Segmentation

AI in Manufacturing Products & Services

  • Hardware
    • Processor
      • Central Processing Unit (CPU)
      • Graphics Processing Unit (GPU)
      • Field-Programmable Gate Array (FPGA)
      • Application-Specific Integrated Circuit (ASIC)
    • Memory
    • Network
  • Software
    • AI Solutions
    • AI Platform
  • Services
    • Managed services
    • Professionals services

AI in Manufacturing End-use Industries

  • Semiconductors and Electronics 
  • Energy and Power 
  • Pharmaceuticals
  • Chemical
  • Medical Devices
  • Automobile 
  • Heavy Metals and Machine Manufacturing 
  • Food and Beverages
  • Others

AI in Manufacturing Technologies

  • Machine Learning 
    • Deep Learning
    • Supervised Learning
    • Reinforcement Learning
    • Unsupervised Learning
    • Others
  • Natural Language Processing (NLP)
  • Context-Aware Computing 
  • Computer Vision 

AI in Manufacturing Applications

  • Predictive Maintenance and Machinery Inspection 
  • Material Movement
  • Production Planning
  • Field Services
  • Quality Management
  • Cybersecurity 
  • Industrial Robot
  • Reclamation

AI in Manufacturing Geographies

  • North America
    • U.S.
    • Canada
  • Europe
    • Germany
    • U.K.
    • France
    • Italy
    • Spain
    • Rest of Europe
  • Asia-Pacific
    • China
    • India
    • Japan
    • Rest of APAC
  • Rest of the World
    • Latin America
      • Brazil
      • Mexico
      • Argentina
      • Rest of Latin America
    • Middle East & Africa

AI in Manufacturing Major Companies

  • AIBrain Inc.
  • Amazon Web Services, Inc.
  • Apple Inc. 
  • Cisco Systems, Inc.
  • Citrine Informatics, Inc.
  • Darktrace Limited
  • DataRobot, Inc.
  • Dell Inc.
  • General Electric Company
  • General Vision Services Inc.
  • Google Inc. 
  • IBM Corporation
  • Intel Corporation
  • Micron Technology
  • Microsoft Corporation
  • Mitsubishi Electric Corporation
  • NVIDIA Corporation
  • Oracle Corporation
  • Preferred Networks, Inc. 
  • Progress Software Corporation
  • Rockwell Automation, Inc.
  • SAP SE
  • Siemens AG 
  • Sight Machine Inc.
  • Skymind, Inc. 
  • Tamr Inc.
  • UBTECH Robotics, Inc. 
  • Vicarious Inc.
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